\section{Application to the ASF}
\label{sec:application}
Software development
organisations like the Apache Software Foundation have blended
the necessary skills and endeavour to produce industrial-strength,
high-quality and popular software we use everyday. 
This paper proposes a comprehensive data set to help researchers
understand the structure of such an organisation and the
collaborative behaviour between the developers. A graph representation
of their roles and commit behaviour, based upon current state-of-the-art
studies and tools, shows their relationships through their administrative
responsibilities and software development activity.

\subsection{Analysis}
According to~\cite{shang10}, 8 types of analysis can be performed in
mining software repositories: metadata analysis, static source code
analysis, source code differencing, software metrics, visualisation,
code clone detection, data mining and social network analysis.
There are many tools which can help researchers and practitioners
perform these types of analysis.

For instance SonarQube,
a open software quality platform, can perform static source code analysis,
software metrics and code clone detection. 
Nemo\footnote{\url{http://nemo.sonarsource.org/dashboard/index/176190}},
the online instance of SonarQube dedicated to open source projects, 
already features the analysis of many projects from the Apache Forge.